182 citations · 464 across the 48 of their papers we have counts for
48 papers
LightPath: Lightweight and Scalable Path Representation Learning
Sean Bin Yang, Jilin Hu, Chenjuan Guo +2
Movement paths are used widely in intelligent transportation and smart city applications. To serve such applications, path representation learning aims to provide compact represent…
MaxSR: Image Super-Resolution Using Improved MaxViT
Bincheng Yang, Gangshan Wu
While transformer models have been demonstrated to be effective for natural language processing tasks and high-level vision tasks, only a few attempts have been made to use powerfu…
Origin-Destination Travel Time Oracle for Map-based Services
Yan Lin, Huaiyu Wan, Jilin Hu +4
Given an origin (O), a destination (D), and a departure time (T), an Origin-Destination (OD) travel time oracle~(ODT-Oracle) returns an estimate of the time it takes to travel from…
Weight Compander: A Simple Weight Reparameterization for Regularization
Rinor Cakaj, Jens Mehnert, Bin Yang
Regularization is a set of techniques that are used to improve the generalization ability of deep neural networks. In this paper, we introduce weight compander (WC), a novel effect…
A Semi-Paired Approach For Label-to-Image Translation
George Eskandar, Shuai Zhang, Mohamed Abdelsamad +3
Data efficiency, or the ability to generalize from a few labeled data, remains a major challenge in deep learning. Semi-supervised learning has thrived in traditional recognition t…
A Crystal-Specific Pre-Training Framework for Crystal Material Property Prediction
Haomin Yu, Yanru Song, Jilin Hu +2
Crystal property prediction is a crucial aspect of developing novel materials. However, there are two technical challenges to be addressed for speeding up the investigation of crys…